import openai
import google.generativeai as genai

from config import (
    OPENAI_API_KEY,
    GEMINI_API_KEY,
    OPENAI_DEFAULT_MODEL,
    GEMINI_DEFAULT_MODEL
)


def configure_llms():
    """
    Configure OpenAI and Gemini if keys are provided.
    """
    if OPENAI_API_KEY:
        openai.api_key = OPENAI_API_KEY
    if GEMINI_API_KEY:
        genai.configure(api_key=GEMINI_API_KEY)


def openai_chat(system_prompt, user_prompt, model=None, temperature=0.3):
    """
    Call OpenAI ChatCompletion with a system + user message.
    """
    if not OPENAI_API_KEY:
        return "Error: OpenAI API key not provided."
    chat_model = model or OPENAI_DEFAULT_MODEL
    try:
        response = openai.ChatCompletion.create(
            model=chat_model,
            messages=[
                {"role": "system", "content": system_prompt},
                {"role": "user", "content": user_prompt}
            ],
            temperature=temperature
        )
        return response.choices[0].message["content"].strip()
    except Exception as e:
        return f"Error calling OpenAI: {str(e)}"


def gemini_chat(system_prompt, user_prompt, model_name=None, temperature=0.3):
    """
    Call Google's PaLM2/Gemini via google.generativeai.
    """
    if not GEMINI_API_KEY:
        return "Error: Gemini API key not provided."
    final_model = model_name or GEMINI_DEFAULT_MODEL
    try:
        model = genai.GenerativeModel(model_name=final_model)
        chat_session = model.start_chat(history=[("system", system_prompt)])
        reply = chat_session.send_message(user_prompt, temperature=temperature)
        return reply.text
    except Exception as e:
        return f"Error calling Gemini: {str(e)}"